Sorcero uses a mix of natural language processing, generative AI, and even more old school symbolic AI, where they craft their own ontologies, to try and ingest that river of new medical data and make it easier to search and comprehend.
Less than 0.2% of the global population can read a medical paper! AI can help make these dense works up to 700x more readable.
Medical Affairs Teams are the groups inside big pharmaceutical companies that helps surface the right information to health providers. It’s hard for them to keep up with the thousands of new articles and research papers being published each month, much less unpack that information.
Connect with Dipanwita Das and Hellmut Adolphs on LinkedIn.
Congrats to Lifeboat badge winner John Carrell for saving the question Self join vs. inner join with an excellent answer.
Making computer science more humane at Carnegie Mellon
Improving the developer experience in the energy sector
The cofounder of Chef is cooking up a less painful DevOps
Throwing away the script on testing
Stress test your code as you write it
Pair Programming? We peek under the hood of Duet, Google’s coding assistant.
The meeting that changed how we build software
Chatting with Apple at WWDC: Macros in Swift and the new visionOS
MosaicML: Deep learning models for sale, all shapes and sizes
Balancing a PhD program with a startup career
This product could help build a more equitable workplace
How the creator of Angular is dehydrating the web
For those who just don't Git it
Building zero tier systems on bare metal
Great code isn’t enough. Developers need to brag about it
Stung by OWASP? Chatting with the creator of the most popular web app scanner
A conversation with the folks building Google's AI models
Read the docs? We prefer to chat with them
Building golden paths for developers
When AI meets IP: Can artists sue AI imitators?
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